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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: UDOP-finetuned-DocLayNet-3 |
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results: [] |
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license: apache-2.0 |
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datasets: |
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- pierreguillou/DocLayNet-small |
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language: |
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- en |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# UDOP-finetuned-DocLayNet-3 |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.7407 |
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- eval_precision: 0.6058 |
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- eval_recall: 0.5870 |
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- eval_f1: 0.5962 |
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- eval_accuracy: 0.7863 |
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- eval_runtime: 16.2128 |
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- eval_samples_per_second: 3.886 |
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- eval_steps_per_second: 1.974 |
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- epoch: 18.6 |
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- step: 800 |
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## Training procedure |
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### Training code: |
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https://github.com/mit1280/Document-AI/blob/main/UDOPEncoderModel_fine_tune_DocLayNet.ipynb |
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### Inference code: |
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https://github.com/mit1280/Document-AI/blob/main/UDOP_DocLayNet_Inference.ipynb |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 1000 |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
